Murray-smith, R.
Derivative Observations in Gaussian Process Models of Dynamic Systems
Solak, E., Murray-smith, R., Leithead, W. E., Leith, D. J., Rasmussen, Carl E.
Gaussian processes provide an approach to nonparametric modelling which allows a straightforward combination of function and derivative observations in an empirical model. This is of particular importance in identification of nonlinear dynamic systems from experimental data.
Derivative Observations in Gaussian Process Models of Dynamic Systems
Solak, E., Murray-smith, R., Leithead, W. E., Leith, D. J., Rasmussen, Carl E.
Gaussian processes provide an approach to nonparametric modelling which allows a straightforward combination of function and derivative observations in an empirical model. This is of particular importance in identification of nonlinear dynamic systems from experimental data.
Derivative Observations in Gaussian Process Models of Dynamic Systems
Solak, E., Murray-smith, R., Leithead, W. E., Leith, D. J., Rasmussen, Carl E.
Gaussian processes provide an approach to nonparametric modelling which allows a straightforward combination of function and derivative observations in an empirical model. This is of particular importance in identification of nonlinear dynamic systems from experimental data.